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Multimedia Tools and Applications

, Volume 78, Issue 2, pp 1805–1829 | Cite as

Tensor based approach for inpainting of video containing sparse text

  • Baburaj MEmail author
  • Sudhish N. George
Article
  • 130 Downloads

Abstract

Videos received from certain sources may contain irrelevant contents which might reduce the amount of information conveyed by it. This paper proposes an effective tensor based video inpainting approach to improve the quality of these videos by removing and replacing unwanted contents with relevant information. The proposed method employs reweighted tensor decomposition technique to identify and discard the inappropriate sparse components of the video data. These sparse components are substituted with proper contents by utilising spatio-temporal consistency through reweighted tensor completion. The replacement is carried out in such a way that the resulting video possesses superior temporal consistency and visual credibility. The proposed method is applied to sparse text removal of videos having dynamic content in various extents and is found that our method outperforms its counterparts.

Keywords

Video inpainting Low rank recovery Tensor decomposition Tensor completion 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics, Communication EngineeringNational Institute of Technology Calicut, NIT Campus Post OfficeCalicutIndia

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